The capacity you find on the Track->Team Status per person is the number of available hours in the selected iteration.
What is capacity in scrum?
In scrum, capacity is the amount of product backlog items that a team can satisfy during a time box without going to heroic efforts. Capacity is measured by the sustainable pace that the team can achieve and that is based more on throughput of product backlog items addressed instead of number of hours you have to work.
How do you calculate safe capacity?
In scrum, capacity is the amount of product backlog items that a team can satisfy during a time box without going to heroic efforts. Team capacity is calculated as per people availability in that sprint. Say team is of 5 people, then total capacity assuming 8 hour day, 2 weeks sprint(10 days) is = 5*8*10 = 400 hours.
How do you check capacity in rally?
The capacity you find on the Track->Team Status per person is the number of available hours in the selected iteration. What you need to decide is, how many “productive” hours do each person have per work day.
What is Plan estimate rally?
Plan Estimate (text): points; the estimate of points for this iteration. Planned Velocity (text): total number of points that the team thinks it can complete within this iteration (may be something other than points depending on your custom Rally settings). … Total Task Estimate (text): The total of task estimates.
How do you calculate capacity?
One of the easiest ways to measure capacity is to simply use the total production quantity for a given time period. For example, if your plant can produce an average of 20,000 gizmos per week, then your total capacity is 20,000 gizmos per week.
What are 5 Scrum values?
Scrum Values. A team’s success with Scrum depends on five values: commitment, courage, focus, openness and respect.
What is effective capacity?
Effective capacity is the amount of storage that is allocated to applications. Using thin-provisioned storage architectures, the effective capacity is virtually larger than the array usable capacity. This is made possible by over-committing capacity, or by compressing the served data.